Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
commitment_ami: struct<n: int64, positives: int64, meetings: int64, positive_meetings: int64, n_ge3_words: int64, po (... 92 chars omitted)
child 0, n: int64
child 1, positives: int64
child 2, meetings: int64
child 3, positive_meetings: int64
child 4, n_ge3_words: int64
child 5, positives_ge3_words: int64
child 6, sha256: string
child 7, source: string
child 8, licence: string
child 9, gold_key: string
question_ami: struct<n: int64, positives: int64, meetings: int64, positive_meetings: int64, n_ge3_words: int64, po (... 92 chars omitted)
child 0, n: int64
child 1, positives: int64
child 2, meetings: int64
child 3, positive_meetings: int64
child 4, n_ge3_words: int64
child 5, positives_ge3_words: int64
child 6, sha256: string
child 7, source: string
child 8, licence: string
child 9, gold_key: string
_official_test_split_membership: struct<ES2004a: string, ES2004b: string, ES2004c: string, ES2004d: string, ES2014a: string, ES2014b: (... 246 chars omitted)
child 0, ES2004a: string
child 1, ES2004b: string
child 2, ES2004c: string
child 3, ES2004d: string
child 4, ES2014a: string
child 5, ES2014b: string
child 6, ES2014c: string
child 7, ES2014d: string
child 8, IS1009a: string
child 9, IS1009b: string
child 10, IS1009c: string
child 11, IS1009d: string
child 12, TS3003a: string
child 13, TS3003b: string
child 14, TS3003c: string
child 15, TS3003d: string
child 16, TS3007a: string
child 17, TS3007b: string
child 18, TS3007c: string
child 19, TS3007d: string
sentence_sha256: list<item: string>
child 0, item: string
meeting_ids: list<item: string>
child 0, item: string
counts: struct<meeting_ids: int64, sentence_sha256: int64>
child 0, meeting_ids: int64
child 1, sentence_sha256: int64
filtered_at: string
built_at: timestamp[s]
version: int64
corpora: list<item: struct<corpus: string, scope: string, reason: string>>
child 0, item: struct<corpus: string, scope: string, reason: string>
child 0, corpus: string
child 1, scope: string
child 2, reason: string
normalization: string
to
{'version': Value('int64'), 'built_at': Value('timestamp[s]'), 'filtered_at': Value('string'), 'normalization': Value('string'), 'corpora': List({'corpus': Value('string'), 'scope': Value('string'), 'reason': Value('string')}), 'meeting_ids': List(Value('string')), 'sentence_sha256': List(Value('string')), 'counts': {'meeting_ids': Value('int64'), 'sentence_sha256': Value('int64')}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
commitment_ami: struct<n: int64, positives: int64, meetings: int64, positive_meetings: int64, n_ge3_words: int64, po (... 92 chars omitted)
child 0, n: int64
child 1, positives: int64
child 2, meetings: int64
child 3, positive_meetings: int64
child 4, n_ge3_words: int64
child 5, positives_ge3_words: int64
child 6, sha256: string
child 7, source: string
child 8, licence: string
child 9, gold_key: string
question_ami: struct<n: int64, positives: int64, meetings: int64, positive_meetings: int64, n_ge3_words: int64, po (... 92 chars omitted)
child 0, n: int64
child 1, positives: int64
child 2, meetings: int64
child 3, positive_meetings: int64
child 4, n_ge3_words: int64
child 5, positives_ge3_words: int64
child 6, sha256: string
child 7, source: string
child 8, licence: string
child 9, gold_key: string
_official_test_split_membership: struct<ES2004a: string, ES2004b: string, ES2004c: string, ES2004d: string, ES2014a: string, ES2014b: (... 246 chars omitted)
child 0, ES2004a: string
child 1, ES2004b: string
child 2, ES2004c: string
child 3, ES2004d: string
child 4, ES2014a: string
child 5, ES2014b: string
child 6, ES2014c: string
child 7, ES2014d: string
child 8, IS1009a: string
child 9, IS1009b: string
child 10, IS1009c: string
child 11, IS1009d: string
child 12, TS3003a: string
child 13, TS3003b: string
child 14, TS3003c: string
child 15, TS3003d: string
child 16, TS3007a: string
child 17, TS3007b: string
child 18, TS3007c: string
child 19, TS3007d: string
sentence_sha256: list<item: string>
child 0, item: string
meeting_ids: list<item: string>
child 0, item: string
counts: struct<meeting_ids: int64, sentence_sha256: int64>
child 0, meeting_ids: int64
child 1, sentence_sha256: int64
filtered_at: string
built_at: timestamp[s]
version: int64
corpora: list<item: struct<corpus: string, scope: string, reason: string>>
child 0, item: struct<corpus: string, scope: string, reason: string>
child 0, corpus: string
child 1, scope: string
child 2, reason: string
normalization: string
to
{'version': Value('int64'), 'built_at': Value('timestamp[s]'), 'filtered_at': Value('string'), 'normalization': Value('string'), 'corpora': List({'corpus': Value('string'), 'scope': Value('string'), 'reason': Value('string')}), 'meeting_ids': List(Value('string')), 'sentence_sha256': List(Value('string')), 'counts': {'meeting_ids': Value('int64'), 'sentence_sha256': Value('int64')}}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Cue benchmark v0.1
Test items, scorer and results for cues in meetings: commitments and open questions, scored against human labels from the AMI and ICSI meeting corpora. No audio is included.
Start with the benchmark card for task definitions, gold provenance, sample sizes, operating points and baselines. Read the licence notes before reusing any item.
hf download SporeLabs/cue-benchmark --repo-type dataset --local-dir cue-benchmark
cd cue-benchmark
python scorer/run_score.py --preds preds_example --out out
See the scoring instructions and results. The model released with this benchmark is cue-text.
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